1.4k citations · 1.7k across the 9 of their papers we have counts for
3 papers · 1 filter
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
Amirhossein Tavanaei, Anthony S. Maida
The problem of training spiking neural networks (SNNs) is a necessary precondition to understanding computations within the brain, a field still in its infancy. Previous work has s…
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals
Amirhossein Tavanaei, Anthony Maida
Spiking neural networks (SNNs) enable power-efficient implementations due to their sparse, spike-based coding scheme. This paper develops a bio-inspired SNN that uses unsupervised…
Representation Learning using Event-based STDP
Amirhossein Tavanaei, Timothee Masquelier, Anthony Maida
Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a ch…